New white paper outlines how CAMARA network APIs and MCP can work together to connect AI systems with real-time network intelligence
SAN FRANCISCO — January 12, 2026 — The Linux Foundation’s CAMARA project, an open source community addressing telco industry API interoperability, today announced the release of a new white paper, “In Concert: Bridging AI Systems & Network Infrastructure through MCP: How to Build Network-Aware Intelligent Applications.” The paper describes how AI applications and agents can integrate with telecom network infrastructure by exposing CAMARA network capabilities to AI systems through the Model Context Protocol (MCP), enabling AI to consume real-time, policy-compliant network context to improve digital experiences and application outcomes.
CAMARA exists to help developers “write once” against operator-agnostic network APIs, reducing fragmentation and enabling consistent access to network capabilities such as Quality on Demand (QoD), Device Location, Edge Discovery, and anti-fraud signals. The new paper outlines how an MCP server can act as a translator, turning CAMARA APIs into MCP “tools” that AI applications can discover and call, which bridges the historical isolation between AI systems and the networks that power modern digital services. By adopting MCP, AI agents gain immediate access to the latest API capabilities as they are released, eliminating the bottleneck of continuous code refactoring. This seamless integration ensures that users always experience the full potential of the technology the moment it becomes available.
Read the full press release here.